Mixed Poisson diffusion models and application to posterior sampling
arXiv:2610.20218v1 Announce Type: new Abstract: Diffusion models are a powerful framework for learning complex probability distributions. While widely used diffusion models for continuous data rely on Gaussian noising processes, we instead develop diffusion models based on Poisson noise. More preci…
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-10-15 04:00 · arXiv stat.ML
Mixed Poisson diffusion models and application to posterior sampling